AI Security Engineer Manager

Role Overview

As the AI Security Engineer Manager, you will be pivotal in safeguarding AI, ML, and Generative AI technologies during their development and deployment phases. This leadership position demands hands-on involvement in high-profile projects, focusing on embedding security, trustworthiness, and resilience into innovative AI systems while facilitating rapid yet responsible advancements.

Key Responsibilities

• Architect and implement AI-enabled solutions that prioritize security from inception, balancing business impact with mitigated risks.
• Engage directly in designing, coding, and testing AI/ML and GenAI applications, incorporating security controls throughout the Software Security Development Life Cycle (SSDLC).
• Manage AI defensive tools and oversee their operational evolution over time.
• Identify AI-specific security vulnerabilities such as prompt injection, data leakage, model tampering, and misuse, then develop and apply effective risk mitigation controls to uphold system integrity.
• Lead as a technical authority on secure AI engineering to ensure solutions meet security, business, and customer requirements.
• Promote engineering excellence by maintaining high standards for secure, scalable, and quality code, and foster reusable secure coding patterns within the team.
• Support rapid innovation cycles by implementing risk-aware security checkpoints to allow safe experimentation.
• Collaborate closely with product development, engineering, cybersecurity, and risk management teams to incorporate security into AI offerings, while balancing usability and performance.
• Contribute to defining and evolving AI security standards, covering areas like data protection, access controls, model validation, and continuous monitoring within DevSecOps and MLOps frameworks.
• Effectively communicate technical risks and trade-offs to diverse stakeholders, facilitating consensus and informed decisions.

Required Qualifications

• Bachelor’s degree or an equivalent credential in Computer Science, Computer Engineering, or Business Administration.
• At least 6 years of relevant experience encompassing software engineering, cybersecurity, and AI/ML delivery, including practical hands-on exposure.
• Minimum of 1 year experience managing teams or processes.

Preferred Expertise

• Comprehensive knowledge of AI/GenAI technologies and associated security threats such as prompt injections, data exposures, and adversarial attacks.
• Hands-on skills in developing and securing applications using programming languages like Python and JavaScript, along with proficiency in ML frameworks such as PyTorch and TensorFlow.
• Experience implementing security throughout Secure Development practices including DevSecOps, integrated within CI/CD and MLOps pipelines.
• Familiarity with cloud ecosystems including AWS, Azure, and GCP, emphasizing cloud-native security principles.
• Understanding of data protection policies, identity and access management, and sound security architecture patterns.
• Proven ability to collaborate cross-functionally, provide mentorship to engineers, and cultivate a robust engineering culture.
• Strong verbal and written communication capabilities to explain technical concepts clearly to both technical and business audiences.

Additional Information

The compensation range provided for this role spans from USD 118,700 to 243,700 annually, reflecting variable factors such as skills, experience, certifications, and organizational needs. Geographic pay differentials apply depending on the location of hire. Annual incentive programs may also be available contingent upon individual and business performance.

Recruitment for this position closes on October 10, 2026.

About the Team

Deloitte Technology US comprises approximately 3,000 professionals dedicated to delivering excellence through diverse services including Cyber Security, Technology Support, Infrastructure, Applications, Strategy, and Project Management. The Cyber Security unit protects data and brand reputation by managing cyber risks, identity management, data protection, incident response, and security architecture.